76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
import os
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import pytest
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from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
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from embedchain.config import BaseLlmConfig
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from embedchain.llm.openai import OpenAILlm
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@pytest.fixture
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def config():
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os.environ["OPENAI_API_KEY"] = "test_api_key"
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config = BaseLlmConfig(
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temperature=0.7, max_tokens=50, top_p=0.8, stream=False, system_prompt="System prompt", model="gpt-3.5-turbo"
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)
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yield config
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os.environ.pop("OPENAI_API_KEY")
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def test_get_llm_model_answer(config, mocker):
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mocked_get_answer = mocker.patch("embedchain.llm.openai.OpenAILlm._get_answer", return_value="Test answer")
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llm = OpenAILlm(config)
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answer = llm.get_llm_model_answer("Test query")
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assert answer == "Test answer"
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mocked_get_answer.assert_called_once_with("Test query", config)
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def test_get_llm_model_answer_with_system_prompt(config, mocker):
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config.system_prompt = "Custom system prompt"
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mocked_get_answer = mocker.patch("embedchain.llm.openai.OpenAILlm._get_answer", return_value="Test answer")
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llm = OpenAILlm(config)
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answer = llm.get_llm_model_answer("Test query")
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assert answer == "Test answer"
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mocked_get_answer.assert_called_once_with("Test query", config)
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def test_get_llm_model_answer_empty_prompt(config, mocker):
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mocked_get_answer = mocker.patch("embedchain.llm.openai.OpenAILlm._get_answer", return_value="Test answer")
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llm = OpenAILlm(config)
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answer = llm.get_llm_model_answer("")
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assert answer == "Test answer"
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mocked_get_answer.assert_called_once_with("", config)
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def test_get_llm_model_answer_with_streaming(config, mocker):
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config.stream = True
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mocked_openai_chat = mocker.patch("embedchain.llm.openai.ChatOpenAI")
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llm = OpenAILlm(config)
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llm.get_llm_model_answer("Test query")
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mocked_openai_chat.assert_called_once()
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callbacks = [callback[1]["callbacks"] for callback in mocked_openai_chat.call_args_list]
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assert any(isinstance(callback[0], StreamingStdOutCallbackHandler) for callback in callbacks)
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def test_get_llm_model_answer_without_system_prompt(config, mocker):
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config.system_prompt = None
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mocked_openai_chat = mocker.patch("embedchain.llm.openai.ChatOpenAI")
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llm = OpenAILlm(config)
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llm.get_llm_model_answer("Test query")
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mocked_openai_chat.assert_called_once_with(
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model=config.model,
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temperature=config.temperature,
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max_tokens=config.max_tokens,
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model_kwargs={"top_p": config.top_p},
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)
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